Triple

T3597867
Position Surface form Disambiguated ID Type / Status
Subject Glenn Howerton E76183 entity
Predicate familyName P18 FINISHED
Object Howerton
Howerton is a surname most notably associated with American actor, writer, and producer Glenn Howerton, known for his role on the TV series "It's Always Sunny in Philadelphia."
 E372127 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Howerton | Statement: [Glenn Howerton, familyName, Howerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howerton
Context triple: [Glenn Howerton, familyName, Howerton]
  • A. Honiton
    Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
  • B. Herringswell
    Herringswell is a small rural village and civil parish located in the English county of Suffolk.
  • C. Brandeston
    Brandeston is a small rural village and civil parish located in the English county of Suffolk.
  • D. Leybourne
    Leybourne is a village and civil parish in Kent, England, known for its residential character and proximity to the town of West Malling.
  • E. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Howerton
Triple: [Glenn Howerton, familyName, Howerton]
Generated description
Howerton is a surname most notably associated with American actor, writer, and producer Glenn Howerton, known for his role on the TV series "It's Always Sunny in Philadelphia."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Howerton
Target entity description: Howerton is a surname most notably associated with American actor, writer, and producer Glenn Howerton, known for his role on the TV series "It's Always Sunny in Philadelphia."
  • A. Honiton
    Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
  • B. Herringswell
    Herringswell is a small rural village and civil parish located in the English county of Suffolk.
  • C. Brandeston
    Brandeston is a small rural village and civil parish located in the English county of Suffolk.
  • D. Leybourne
    Leybourne is a village and civil parish in Kent, England, known for its residential character and proximity to the town of West Malling.
  • E. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19c71608190a87c98214321214c completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b40316ebdc819088eb21b7087fb7e7 completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b406f095488190b4543fa8008fe86c completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b408744dcc819081308b7182a40c88 completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.